Viroteq develops modular AI intelligence to automate and optimize flexible industrial stacking processes in logistics. Their software enables integrators and end-users to achieve higher throughput and transport efficiency through intelligent mixed-case packing. This technology addresses the growing need for flexible automation in warehousing and supply chain operations.
Funding
$190K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The logistics industry faces increasing demands for flexible automation solutions capable of handling rapidly changing objects and processes. Simultaneously, there's a need to improve efficiency and sustainability across the supply chain, particularly in picking, packing, and stacking tasks, amidst a shrinking labor force.
Solution
Viroteq provides AI-powered modular solutions designed to automate and optimize flexible logistics handling processes. Their core offering, the RobotStackr, utilizes StackrBrain AI technology to enable robotic stacking and packing of mixed-size items with optimized volumetric efficiency. This eliminates the need for large buffers and sequencers, allowing for smaller footprint robotic handling systems. Viroteq's solutions improve parcel transport efficiency by optimizing picking, packing, and stacking tasks, addressing the need for increased flexibility in the face of a decreasing labor force. The AI algorithms determine optimal stacking configurations, leading to stable stacks and reduced transport footprint.
Target Audience
Viroteq's primary customers are integrators and end-users in the logistics industry seeking to automate flexible handling processes, particularly in parcel transport, warehousing, and distribution centers.
Features
- RobotStackr OTF: Turn-key AI solution for robotic stacking and packing of unknown mixed items.
- RobotStackr Cloud: AI solution for stacking single SKU pallets.
- StackrBrain AI technology for determining stacking and packing configurations.
- AI-powered visual scene classification.
- Optimized volumetric efficiency for reduced transport footprint.
- Stable mixed-sized object stacking.
- Integration with existing robotic systems.